code: def check_type_forward(self, in_types):
      type_check._argname(in_types, ("x",))
      (x_type,) = in_types
  
      type_check.expect(
          x_type.dtype.kind == "f",
          x_type.ndim >= 2,
      )
  
file_path: chainer/chainer/functions/math/batch_l2_norm_squared.py
imports: import six
  import chainer
  from chainer.backends import cuda
  from chainer import function_node
  from chainer.functions.math import sum
  from chainer.utils import type_check
label_desc: Use image node_id 1 for calling the BatchL2NormSquared obj's underlying member method code with example usage: obj.check_type_forward(in_types) without return types